Application of ANN in prediction of response parameters in CNC Turning

Product surface quality material removal rate play a great role in the current manufacturing industry. The use of artificial intelligence becomes immensely important component research work. . In today advanced technology era, CNC lathe is common and essential to enhance productivity this work, application neural network has been shown predict values finish MRR during turning operation on machine. association between process variables response through hidden layers presented. experimental data set was used for training (70%), testing (15%) validation network. measured are compared with predicted percentage predicated errors computed. present developed trained, tested validated help MATLAB. study can be beneficial estimation products commercialization which would reduce coat time.